Privacy & AI Compliance
GDPR, CCPA/CPRA, HIPAA, and AI data governance. Privacy compliance that keeps pace with how your product actually handles data.
Privacy compliance is a prerequisite for doing business, especially with enterprise customers, in regulated industries, or in any jurisdiction with teeth. But privacy in the AI era is fundamentally different from privacy in the traditional software era. Your product doesn't just collect and store data anymore. It processes, infers, generates, and learns from it.
I help startups build privacy compliance programs that reflect how modern AI-driven products actually work, not how a pre-AI template assumes they work. The result: policies that are accurate, regulations that are satisfied, and enterprise deals that don't stall in procurement.
What I Cover
GDPR Compliance
Lawful basis analysis, data mapping, Privacy Policy and cookie policy drafting, Data Protection Impact Assessments (DPIAs), international data transfer mechanisms, and ongoing compliance monitoring for EU data protection law.
CCPA/CPRA Compliance
California privacy law compliance including notice requirements, consumer rights implementation (access, deletion, opt-out of sale/sharing), service provider agreements, and CPRA's expanded requirements for sensitive personal information.
AI Data Governance
Privacy frameworks for AI-specific data flows: training data provenance, automated decision-making disclosures (GDPR Article 22), AI inference and profiling, and responsible data practices for machine learning pipelines.
HIPAA Guidance
For healthtech and digital health startups: determining whether HIPAA applies to your product, Business Associate Agreements (BAAs), breach notification obligations, and building HIPAA-aware features into your product architecture.
Terms of Service & Privacy Policies
Drafting and reviewing customer-facing legal documents that accurately describe your data practices, satisfy regulatory requirements, and don't create unnecessary business friction. Updated for AI-era product features.
DPA Negotiation
Drafting your standard Data Processing Agreement and negotiating DPAs with enterprise customers and vendors. A strong DPA accelerates enterprise sales cycles and demonstrates compliance maturity.
Privacy in the AI Era
Traditional privacy compliance was about data collection, storage, and sharing. AI adds entirely new dimensions: your product might use personal data to train models, generate inferences about users that constitute new personal data, make automated decisions that affect people's lives, or process data through third-party AI services with their own data practices.
Each of these creates specific compliance obligations. GDPR Article 22 gives individuals the right not to be subject to purely automated decisions with legal or significant effects. Training on personal data may require a separate lawful basis. And every AI vendor in your stack needs a DPA that covers their specific data processing activities.
Getting this right isn't just about avoiding fines. Enterprise customers, especially in healthcare, finance, and government, increasingly require detailed privacy documentation as a condition of procurement. A mature privacy program accelerates your sales cycle.
Related Resources
Frequently Asked Questions
What privacy regulations apply to my startup?
It depends on your users and data. EU users trigger GDPR. California users trigger CCPA/CPRA. Health information may trigger HIPAA. Many startups face multiple overlapping frameworks. Building a foundation that satisfies GDPR (the most stringent) typically covers your obligations under other frameworks too.
How does AI change my privacy compliance obligations?
AI introduces automated decision-making rights (GDPR Article 22), training data requirements, AI-generated inferences about users, and third-party AI tool data flows. Your Privacy Policy, DPAs, and documentation all need to address these AI-specific dimensions.
What is a DPA and when do I need one?
A Data Processing Agreement is a contract with every vendor that processes personal data on your behalf: cloud hosting, analytics, AI tools, payment processors. GDPR requires them. Enterprise customers require them. Having a strong standard DPA ready accelerates deal cycles.
Do I need a privacy lawyer or can I use a template?
Templates are a starting point, but if your product uses AI, serves multiple jurisdictions, or processes sensitive data, a template likely won't cover your actual practices, and an inaccurate Privacy Policy is a compliance risk in itself. A privacy lawyer ensures your policies match reality.
Need privacy compliance guidance?
Whether you're building your first Privacy Policy or navigating enterprise DPA negotiations, let's make sure your privacy program is audit-ready.
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